Evidence map›Paper›PMID 30277816›Full record

ArticleAIDS patient care and STDs2018

Gender Differences in HIV Testing, Diagnosis, and Linkage to Care in Healthcare Settings: Identifying African American Women with HIV in Chicago.

Ellen A Almirol, Moira C McNulty, Jessica Schmitt, Rebecca Eavou, Michelle Taylor, Audra Tobin, Kimberly Ramirez, Nancy Glick, Madison Stamos, Stephanie Schuette and 2 more

Abstract read
In one paragraph

Article in AIDS patient care and STDs, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 26 citations in OpenAlex.

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  14. Human Immunodeficiency Virus Continuum of Care in 11 European Union Countries at the End of 2016 Overall and by Key Population: Have We Made Progress?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Ellen A Almirol1 Global Center for Children and Families, UCLA Semel Institute for Neuroscience and Human Behavior, University of California , Los Angeles, Los Angeles, California.
Moira C McNulty2 Section of Infectious Diseases and Global Health, University of Chicago , Chicago, Illinois.
Jessica Schmitt2 Section of Infectious Diseases and Global Health, University of Chicago , Chicago, Illinois.
Rebecca Eavou2 Section of Infectious Diseases and Global Health, University of Chicago , Chicago, Illinois.
Michelle Taylor2 Section of Infectious Diseases and Global Health, University of Chicago , Chicago, Illinois.
Audra Tobin3 Public Health Institute of Metropolitan , Chicago, Chicago, Illinois.
Kimberly Ramirez4 Division of Infectious Diseases, Mt. Sinai Hospital, Chicago, Illinois.
Nancy Glick4 Division of Infectious Diseases, Mt. Sinai Hospital, Chicago, Illinois.
Madison Stamos2 Section of Infectious Diseases and Global Health, University of Chicago , Chicago, Illinois.
Stephanie Schuette5 Chicago Department of Public Health, Chicago, Illinois.
Jessica P Ridgway2 Section of Infectious Diseases and Global Health, University of Chicago , Chicago, Illinois.
David Pitrak2 Section of Infectious Diseases and Global Health, University of Chicago , Chicago, Illinois.
University of Chicago · USMount Sinai Hospital · USChicago Department of Public Health · USIllinois Public Health Institute · USOrthopaedic Institute for Children · US

Funding

Virology and Immunology Technology CoreP30AI117943 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Mohamed Abdel Mohsen · 2015 to 2026
$38.4M
INNOVATIVE IMPLEMENTATION RESEARCH METHODS COREP30DA027828 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BROWN, C. HENDRICKS, MUSTANSKI, BRIAN · 2011 to 2020
$11.4M
NIAID NIH HHS P30 AI117943NIDA NIH HHS P30 DA027828
6 · The paper itself

Abstract

Women account for 25% of all people living with HIV and 19% of new diagnoses in the United States. African American (AA) women are disproportionately affected. Yet, differences in the care continuum entry are not well understood between patient populations and healthcare sites. We aim to examine gender differences in diagnosis and linkage to care (LTC) in the Expanded HIV Testing and Linkage to Care (X-TLC) program within healthcare settings. Data were collected from 14 sites on the South and West sides of Chicago. Multivariate logistic regression analysis was used to determine the differences in HIV diagnoses and LTC by gender and HIV status. From 2011 to 2016, X-TLC performed 281,017 HIV tests; 63.7% of those tested were women. Overall HIV seroprevalence was 0.57%, and nearly one third (29.4%) of HIV-positive patients identified were cisgender women. Of newly diagnosed HIV-positive women, 89% were AA. 58.5% of new diagnoses in women were made at acute care hospitals, with the remainder at community health centers. Women who were newly diagnosed had a higher baseline CD4 count at diagnosis compared with men. Overall, women had lower odds of LTC compared with men (adjusted odds ratio = 0.58, 95% confidence interval 0.44-0.78) when controlling for patient demographics and newly versus previously diagnosed HIV status. Thus, interventions that focus on optimizing entry into the care continuum for AA women need to be explored.

Indexed as

AdultAIDS SerodiagnosisBlack or African AmericanCD4 Lymphocyte CountChicagoContinuity of Patient CareDelivery of Health CareFemaleHIV InfectionsHIV SeroprevalenceHumansMaleMass ScreeningMiddle AgedSeroepidemiologic StudiesSex Factorscare continuumHIVHIV diagnosislinkage to careroutine testing

Identifiers

PMID30277816
PMCPMC6909762
OpenAlexW2894916582

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.